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The First MCP empowered by OpenAIRE Graph, built for Open Science Scholarly Communities

Alien AI and OpenAIRE have joined forces to connect AI agents directly to the world's largest Open Scholarly Knowledge Graph  (OpenAIRE Graph) — transforming how researchers discover, review, and analyse scientific literature.

The OpenAIRE Graph is one of the largest and most comprehensive Scholarly Knowledge Graphs in the world. It interconnects metadata spanning research publications, datasets, software, grants, funders, organisations, researchers, and repositories — all drawn from thousands of data sources worldwide.

With 350 million entities linked by over 7 billion semantic relationships, it represents the most complete open-access map of scientific knowledge ever assembled.

The problem

Web Search Was Never Built for Science

The gap between what a general-purpose AI can surface and what a working researcher actually needs is vast. Deep literature reviews, citation impact analysis, cross-institutional research mapping — these tasks require verified, structured, peer-reviewed data, not a summary scraped from the open web.

The solution

Direct Access to the OpenAIRE Research Graph — via MCP

Alien AI has delivered a full Model Context Protocol (MCP) implementation for OpenAIRE. Unlike a simple API wrapper, the MCP allows AI agents — including Claude Code — to plug directly into the OpenAIRE Research Graph in real time.

"The results with the OpenAIRE MCP are significantly better structured and provide deeper citation impact analysis than standard web searches. It's the difference between a general summary and a professional literature review."

Paolo Manghi — Chief Technology Officer, OpenAIRE

Direct Knowledge Access

The AI doesn't guess or hallucinate. It queries the OpenAIRE Graph API in real-time, returning verified results with full metadata and provenance.

Deep Research Capabilities

Supports complex literature reviews, citation impact analysis, and chronological research mapping across institutions and funding streams.

Native Authentication

A fully secure implementation supporting standard user authentication, ensuring institutional data sovereignty and enterprise-grade access control.

The impact

This partnership is not just a technical integration — it is a new innovative foundation for how science is accessed, funded, and performed in the age of AI.

  • Sustainable Open Science. 
Every interaction with the OpenAIRE MCP directly contributes to the long-term viability of OpenAIRE's open-access infrastructure — turning AI usage into a sustainable model for open knowledge.
  • New tools for the research community. 
Researchers gain access to AI-powered literature review and citation analysis at unprecedented scale — work that previously took weeks now takes minutes.
  • Researchers gateway. 
Users of AI platforms can now integrate OpenAIRE AI plugin through a fully authenticated process with collaboration with Alien Intelligence company — opening new partnerships.

What's Coming Next

  • April 2026 — Public Launch

From beta to full public availability. The OpenAIRE MCP is live and open to the research community worldwide. Join the OpenAIRE Graph Community Call in May 20th, to ask anything you want to know.

  • Multi-Platform Integration

Available as a dedicated "Open Science Plugin" across Claude Code, Cowork, and Mistral AI — meeting researchers where they already work.

  • Advanced Tooling

Python-enhanced scripts enabling both qualitative and quantitative performance analysis of research results at scale.

Try the new Alien AI agent on OpenAIRE Graph

Start querying the world's largest Open Scholarly Knowledge Graph through AI — today.

Try the demo